Deformable Meshes for Medical Image Segmentation

DOI10.1007/978-3-658-07015-1zbMATH Open1303.92005OpenAlexW2485013872MaRDI QIDQ2936359

Dagmar Kainmueller

Publication date: 16 December 2014

Full work available at URL: https://doi.org/10.1007/978-3-658-07015-1

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Machine vision and scene understanding (68T45) Research exposition (monographs, survey articles) pertaining to biology (92-02)

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Spline-Based Deforming Ellipsoids for Interactive 3D Bioimage Segmentation ⋮ Anisotropic Adapted Meshes for Image Segmentation: Application to Three-Dimensional Medical Data ⋮ Multi-scale 3-D deformable model segmentation based on medial description ⋮ Using deformable surfaces to segment 3-D images and infer differential structures

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